Round1: Given 2 lists A and B. Return the elements in A not in B and vice versa in 2 arrays Your approach to create a fraud detection model. Follow-up: model doesn't perform well on new data. Why and how to overcome The training time of my model is too high. Why and how to overcome? I have a GPU but CPU usage is 100% and GPU is at 10%. How to overcome? How important is EDA and preprocessing? Round2: Python: You have a list of place and co-ordinate tuple. How far is place x from each of the list of places? Return top 3 results. Follow-up: how far is each place from the other. Print top k places for each place. SQL: Given list of tables Return diff of sales revenue from 2022-2023 Return top ordered item from each transaction Return average sales value from per store
